2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CV2024
Mask-Free Neuron Concept Annotation for Interpreting Neural Networks in Medical Domain
Hyeon Bae Kim, Yong Hyun Ahn, Seong Tae Kim
Recent advancements in deep neural networks have shown promise in aiding disease diagnosis and medical decision-making. However, ensuring transparent decision-making processes of A…
cs.CV2024
WWW: A Unified Framework for Explaining What, Where and Why of Neural Networks by Interpretation of Neuron Concepts
Yong Hyun Ahn, Hyeon Bae Kim, Seong Tae Kim
Recent advancements in neural networks have showcased their remarkable capabilities across various domains. Despite these successes, the "black box" problem still remains. Addressi…
cs.CV2023★ 2 cited
LINe: Out-of-Distribution Detection by Leveraging Important Neurons
Yong Hyun Ahn, Gyeong-Moon Park, Seong Tae Kim
It is important to quantify the uncertainty of input samples, especially in mission-critical domains such as autonomous driving and healthcare, where failure predictions on out-of-…